
from .glue import GlueDataset, GlueDataTrainingArguments
from .language_modeling import (
    LineByLineTextDataset,
    LineByLineWithRefDataset,
    LineByLineWithSOPTextDataset,
    TextDataset,
    TextDatasetForNextSentencePrediction,
)
from .squad import SquadDataset, SquadDataTrainingArguments








import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin

class 							_UpperCamelCase					(       unittest.TestCase  ,							_A	):






			'''simple docstring'''

			def    lowerCAmelCase__						(							self			:							Tuple   ):
							UpperCamelCase_:				List[Any]						=    load_tool("""text-classification"""   )
							self.tool.setup()
							UpperCamelCase_:				Optional[int]						=    load_tool("""text-classification"""    ,						remote=snake_case_   )

			def    lowerCAmelCase__						(							self			:							Optional[Any]   ):
							UpperCamelCase_:				Union[str, Any]						=    self.tool("""That's quite cool"""    ,						["""positive""", """negative"""]   )
							self.assertEqual(snake_case_    ,						"""positive"""   )

			def    lowerCAmelCase__						(							self			:							int   ):
							UpperCamelCase_:				Tuple						=    self.remote_tool("""That's quite cool"""    ,						["""positive""", """negative"""]   )
							self.assertEqual(snake_case_    ,						"""positive"""   )

			def    lowerCAmelCase__						(							self			:							Optional[int]   ):
							UpperCamelCase_:				int						=    self.tool(text="""That's quite cool"""    ,						labels=["""positive""", """negative"""]   )
							self.assertEqual(snake_case_    ,						"""positive"""   )




			def    lowerCAmelCase__						(							self			:							Tuple   ):
							UpperCamelCase_:				List[Any]						=    self.remote_tool(text="""That's quite cool"""    ,						labels=["""positive""", """negative"""]   )
							self.assertEqual(snake_case_    ,						"""positive"""   )






